Latest AI and machine learning research in surveillance for healthcare professionals.
INTRODUCTION: Generative large language models (LLMs) are increasingly used in dentistry, yet their guideline-based diagnostic accuracy and reproducibility remain uncertain. Position statements from the American Association of Endodontists and the European Society of Endodontology provide rigorous, evidence-based standards, making them an ideal benchmark to assess alignment of LLM outputs with end...
INTRODUCTION: Stroke ranks as the second-leading cause of death and third in combined death and disability globally. In Ghana, there is a significant incidence of stroke, yet systematic reviews highlight a lack of comprehensive data on stroke in Sub-Saharan Africa, including Ghana. Additionally, information on the spatial and spatiotemporal distribution of stroke risk across Ghana's 16 regions rem...
OBJECTIVES: To evaluate the diagnostic interchangeability of DL-enhanced accelerated lumbar (L)-spine magnetic resonance imaging (MRI) with convention...
BACKGROUND: Oral cancers account for considerable morbidity and mortality worldwide, and their incidence has increased in the past several years, desp...
Vancomycin is a critical glycopeptide antibiotic for treating severe infections caused by Gram-positive bacteria, particularly MRSA and Clostridioides...
Behavioural and psychological symptoms of dementia pose challenges to the safety and well-being of individuals in residential care. The integration of...
Gridded livestock distribution datasets have been produced for several years and are used in various fields, including epidemiology, livestock impact ...
Giant congenital melanocytic nevi (GCMN) are rare pigmented skin lesions present at birth that carry an increased risk of malignant melanoma and neuro...
Structured reporting in knee MRI represents a transformative advancement in musculoskeletal radiology, promising enhanced clarity and consistency in e...
Loneliness is a major psychological challenge in older adulthood, contributing to increased risks of depression, anxiety, and mortality. Conversationa...
AIMS: To evaluate the acceptability and feasibility among nurses of Decubitus Risk Prediction Alerts based on Artificial Intelligence (DRAAI), and to ...
BACKGROUND: Artificial intelligence (AI)-powered analysis of electrocardiograms (ECGs) is reshaping cardiac diagnostics, offering faster and often mor...
BACKGROUND: Chronic kidney disease (CKD) is getting more common in elderly people with metabolic syndrome, but early detection and risk prediction are...
PURPOSE OF REVIEW: Recent literature describes the deployment of different artificial intelligence (AI) technologies to potentially support infection ...
BACKGROUND: Multidrug-resistant Klebsiella pneumoniae represents a significant challenge in healthcare settings, prompting numerous studies on the rap...
Symptom checkers are apps and websites that assist medical laypeople in diagnosing their symptoms and determining which course of action to take. When...
BACKGROUND: Renal cell carcinoma (RCC) is a common, often lethal kidney cancer that originates in the renal cortex. Its incidence is rising, and major...
OBJECTIVES: To improve prediction and understanding of TB dynamics in Argentina, identifying key risk factors and high-incidence areas to inform surve...
CONTEXT: Post-traumatic stress disorder (PTSD) is mainly assessed through self-reports and clinician interviews, which can delay recognition and limit...
The integration of artificial intelligence (AI), the rise of mega-journals, and the manipulation of impact factors present challenges to scientific in...